Nikita Karaev

Computer Vision and Pattern Recognition · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nikita Karaev trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David G. Lowe
  2. Zachary Teed
  3. Jia Deng
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Alex Krizhevsky
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Yoshua Bengio

Papers from Nikita Karaev's perspective

Ordered by how strongly the researchers Nikita Karaev trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers